Home Technology AI in Chemicals Market Size, Share, Trends, Growth, Report 2032

AI in Chemicals Market

Global AI in Chemicals Market Information by Type (Hardware, Software, and Services), Application (Molecule Design, Retrosynthesis, Reaction Outcome Prediction, Reaction Conditions Prediction, and Chemical Reaction Optimization), End-Use (Base Chemicals and Petrochemicals, Specialty Chemicals, and Agrochemicals), and By Region(North America, Europe, APAC, Middle East and Africa, LATAM) Forecasts, 2024-2032

Report Code: SRTE56282DR
Study Period 2020-2032 CAGR 31.6%
Historical Period 2020-2022 Forecast Period 2024-2032
Base Year 2023 Base Year Market Size USD 1.4 billion
Forecast Year 2032 Forecast Year Market Size USD 13 billion
Largest Market Asia-Pacific Fastest Growing Market Europe
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Market Overview

The global AI in chemicals market size was valued at USD 1.4 billion in 2023 and is projected to reach USD 13 billion by 2032, registering a  CAGR of 31.6% during the forecast period (2024-2032). The market growth is driven by the rising need for chemical production techniques that are both efficient and sustainable. 

The chemical industry is poised to use artificial intelligence (AI) significantly, driving progress in customized chemical products, intelligent manufacturing, and materials exploration. Expect artificial intelligence (AI) to substantially enhance supply chain resilience, safety, compliance, and collaborative innovation ecosystems. It will also prioritize ethical AI practices and continuous evolution.

The chemicals sector is undergoing substantial changes due to the heightened use of artificial intelligence (AI) in research and development (R&D) procedures. Concurrently, there is an increasing need for AI-driven chemical process optimization to improve efficiency, reduce costs, and promote environmental sustainability. These trends are additionally propelled by opportunities such as the growing need for AI-driven predictive maintenance, utilizing AI’s capacities for proactive equipment maintenance. Moreover, the incorporation of generative artificial intelligence enables the exploration of unparalleled opportunities, fundamentally transforming the field of product design and process innovation within the chemicals industry.

Highlights

  • The software generates the highest revenue share based on type. 
  • Molecular design accounts for the largest market share by application.
  • Specialty chemicals account for the largest market share by the end-user.

Market Dynamics

Global AI in Chemicals Market Drivers

Artificial Intelligence Made Industrial Work Cleaner and More Efficient

Utilizing advanced analytics and models incorporating machine learning (ML) and artificial intelligence (AI), it is possible to predict the remaining quantity of raw material for chemical synthesis and determine the additional amount needed. AI forecasting enables modifications at each phase of the molecule’s synthesis process. Artificial intelligence (AI) can also forecast future material expenses. This enables faster industry adoption of the production process and significantly reduces the company’s losses. AI in the chemical sector can decrease predicting inaccuracy by 50% compared to human forecasting. By employing artificial intelligence to forecast demand, firms may streamline their supply chain and avoid excessive inventory.

Similarly, significant quantities of waste that need to be discarded and removed are typically the result of an unintended incident occurring during the production of chemicals. Chemical firms often employ strategies to minimize inefficiencies and ensure the consistent production of commodities. The entire production process is fully automated due to the advancement of artificial intelligence (AI) and machine learning. This technological progress also enhances the consistency and standardization of the products. This improves efficiency and reduces chemical waste, reducing carbon's environmental footprint.

Advancements in Machine Learning Algorithms and Computational Power

The AI in the chemicals industry is undergoing a significant transformation, driven by developments in machine learning techniques and computer capacity. Machine learning algorithms, specifically deep learning models, have exhibited unparalleled ability to evaluate extensive quantities of chemical data, reveal intricate patterns, and generate precise forecasts. These algorithms can effectively manage data with many dimensions, such as molecular structures, reaction pathways, and material properties. This enables the use of these algorithms in drug development, materials design, and process optimization within the chemical industry.

In addition, the rapid increase in processing capacity, propelled by advancements in hardware technologies such as GPUs and TPUs, has dramatically expedited the training and implementation of complex AI models in chemistry. The enhanced computational capability allows researchers and engineers to address more intricate problems, simulate molecular interactions at higher levels of detail, and investigate broader chemical domains with more accuracy.

Moreover, AI-powered solutions are causing a significant transformation in different areas of the chemical industry, including medication research, formulation, chemical synthesis, and production. Companies are utilizing artificial intelligence (AI) to make their research and development (R&D) operations more efficient, improve the quality of their products, decrease the time it takes to bring products to market, and optimize their production processes. This results in cost savings and a competitive edge.

Global AI in Chemicals Market Restraint

High Initial Implementation Costs and Integration Challenges

Although AI shows great potential in the chemicals industry, it may face obstacles such as expensive initial installation costs and difficulties in integration, which could hinder its general adoption. Deploying AI solutions in the chemical sector frequently necessitates significant initial infrastructure, software, and expertise expenditures. Creating and implementing AI models customized for specific chemical processes requires highly skilled workers knowledgeable in chemistry and machine learning, increasing overall implementation costs.

Furthermore, incorporating AI technologies into current workflows and outdated infrastructure can be intricate and time-consuming. Chemical plants and laboratories frequently include a wide range of varied systems, making it difficult to integrate AI technology smoothly. Compatibility, data segregation, and interoperability challenges may impede AI solutions' seamless implementation and functioning.

In addition, the validation and regulatory approval procedures for AI-driven applications in the chemical sector are strict and necessitate thorough testing and verification to guarantee safety, dependability, and adherence to industry norms and laws. This introduces an additional level of intricacy and expense to the deployment process.

Global AI in Chemicals Market Opportunity

Expansion of AI Applications in Personalized Medicine and Healthcare-Related Chemicals

Incorporating artificial intelligence (AI) into personalized medicine and healthcare-related chemicals represents a significant change in the worldwide AI in the chemicals industry. The surge in this phenomenon is driven by the unparalleled ability of artificial intelligence (AI) to analyze extensive information, extract practical insights, and enhance decision-making processes in the healthcare industry. AI algorithms in personalized medicine utilize patient-specific data, such as genetic information, medical history, and lifestyle factors, to create treatment programs that are more precise and effective. In addition, artificial intelligence in drug discovery and development speeds up the discovery of new therapeutic molecules, potentially transforming pharmaceutical research completely.

Moreover, AI applications enhance the streamlining of manufacturing processes in producing healthcare-related chemicals, guaranteeing meticulous quality control and maximizing cost-effectiveness. These improvements improve the efficacy of drugs and aid in creating cutting-edge diagnostic equipment and medical gadgets. As a result, the worldwide Artificial Intelligence in chemicals market is experiencing substantial expansion, propelled by the growing need for customized healthcare solutions and the quest for more streamlined drug development procedures. Nevertheless, concerns regarding data privacy, regulatory barriers, and the requirement for specialized knowledge in the deployment of artificial intelligence continue to be relevant. Tackling these obstacles will be essential in fully harnessing the promise of AI to revolutionize the healthcare and chemical sectors.

Regional Analysis

Asia Pacific Dominates the Global Market

Asia Pacific is the most significant global AI in chemicals market shareholder and is estimated to grow at a CAGR of 31.2% over the forecast period. The substantial increase in the deployment of AI in the chemical sector in the Asia Pacific is primarily due to its capacity to tackle industry difficulties successfully. Artificial Intelligence technologies provide solutions for enhancing production processes, forecasting equipment malfunctions, and improving product quality. Furthermore, the growing demand for chemicals in the region requires enterprises to use AI-driven processes to improve efficiency and promote innovation. In April 2024, Microsoft declared its intention to allocate USD 1.7 billion towards developing new cloud and AI infrastructure in Indonesia.

Additionally, they plan to provide AI training opportunities for 840,000 individuals and offer support to the country's Expanding developer community. This investment is the largest one Microsoft has ever made in the country in its 29-year history. During the 10th AWS ASEAN Summit in Singapore, Amazon Web Services (AWS) revealed its intention to allocate an extra USD 12 billion towards enhancing its current cloud infrastructure in Singapore. This investment will take place between 2024 and 2028, and its purpose is to cater to the increasing customer demand for cloud technology and services in the country. AWS has allocated a significant amount of USD 11.5 billion for developing the AWS Asia Pacific (Singapore) region until 2023.

Furthermore, AWS intends to treble its projected investment in the current cloud infrastructure to exceed USD 23 billion by 2028. Furthermore, implementing government programs and investments in AI infrastructure contribute to the widespread use of AI, establishing the Asia Pacific region as a leader in utilizing AI for advancements in the chemical sector.

Europe is anticipated to exhibit a CAGR of 31.9% over the forecast period. The factors driving the growth of the global AI in the chemicals market in Europe are diverse and constantly changing. The growing need for process optimization and efficiency is a significant factor driving the chemical sector. AI technologies provide the capability to analyze data and monitor operations in real-time, enabling more accurate management of production processes. This results in cost reductions and enhanced efficiency. Furthermore, chemical businesses are compelled by regulatory demands and sustainability concerns to implement AI-driven solutions to improve resource usage, decrease waste, and mitigate environmental effects. Artificial intelligence algorithms can aid in creating more environmentally friendly procedures and producing sustainable products.

Moreover, the increasing focus on innovation and competitiveness in the European chemical industry is fueling the implementation of AI technologies. Companies utilize artificial intelligence (AI) to enhance product development, ensure quality control, and gather market intelligence to obtain a competitive advantage in the global market. 
 
North America holds a significant market. Several vital reasons drive the worldwide AI in the chemicals industry in North America. Advancements in AI technologies, such as machine learning and predictive analytics, promote innovation and enhance chemical industry efficiency. Furthermore, the demand for increased efficiency and cost reduction drives the implementation of Artificial Intelligence solutions in the chemical manufacturing industry. Furthermore, the growing emphasis on sustainability and environmental rules propels the adoption of AI-powered methods to minimize waste and optimize energy usage.

In addition, the increasing need for customized products and services motivates chemical firms to utilize artificial intelligence for customized manufacturing methods and customer-focused solutions.

Report Scope

Report Metric Details
Segmentations
By Type
  1. Hardware
  2. Software
  3. Services
By Application
  1. Molecule Design
  2. Retrosynthesis
  3. Reaction Outcome Prediction
  4. Reaction Conditions Prediction
  5. Chemical Reaction Optimization
By End-Use
  1. Base Chemicals and Petrochemicals
  2. Specialty Chemicals
  3. Agrochemicals
Company Profiles Manuchar N.V IMCD N.V. Univar Solutions Inc. Brenntag S.E. Sojitz Corporation ICC Industries Inc. Azelis Group NV Tricon Energy Inc. Biesterfeld AG Omya AG HELM AG Sinochem Corporation Petrochem Middle East FZE
Geographies Covered
North America U.S. Canada
Europe U.K. Germany France Spain Italy Russia Nordic Benelux Rest of Europe
APAC China Korea Japan India Australia Singapore Taiwan South East Asia Rest of Asia-Pacific
Middle East and Africa UAE Turkey Saudi Arabia South Africa Egypt Nigeria Rest of MEA
LATAM Brazil Mexico Argentina Chile Colombia Rest of LATAM
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, Environment & Regulatory Landscape and Trends
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Segmental Analysis

The global AI in chemicals market is segmented based on type, application, and end user. 

Based on type, the market is segmented into hardware, software, and services. 

The software segment dominated the market in 2023. Incorporating advanced algorithms, such as machine learning and deep learning, into software enables chemical businesses to make their manufacturing processes more efficient, improve product development, and optimize supply chain operations. Moreover, software solutions facilitate the integration of AI-driven initiatives in several areas of the chemicals industry, including research and development, production, and distribution, promoting innovation and competitiveness. 

The hardware segment is the fastest growing. The hardware sector is expected to experience significant growth in the projected period due to the rising need for specialized hardware components such as AI memory and processors and the increasing utilization of artificial intelligence algorithms for complex procedures. AI and machine learning are increasingly generating and analyzing mission data in real-time. This enables autonomous cognitive digital conflicts and drives advancements in the hardware sector.

The services segment is the second largest. AI services, such as professional and managed services, are revolutionizing the chemicals business by offering specialized knowledge, assistance, and customized solutions for AI-driven projects. Both professional and managed services are essential for expediting the implementation of AI, stimulating innovation, and optimizing the advantages of AI technology in the chemical business.

The market is segmented based on application into Molecule Design, Retrosynthesis, Reaction Outcome Prediction, Reaction Condition Prediction, and Chemical Reaction Optimization. 

The retrosynthesis segment dominated the market in 2023. Retrosynthesis is a method that deconstructs a desired molecule into its fundamental constituent parts. Multiple repetitions of this method are required to generate the first molecule. However, the complexity of this molecule can be resolved using AI-based technology. This algorithm aims to provide molecules with a chemical pathway to transform into essential precursors.

The molecule design segment is the fastest growing. Machine learning has demonstrated efficacy in medication predictions and material discovery. Artificial intelligence also aids in the domain of organic photovoltaic (OPV). Machine learning approaches facilitate the identification of molecules, their features, interactions, and the prediction of reaction outcomes.

The market is segmented by end-use into Base Chemicals and Petrochemicals, Agrochemicals, and Specialty Chemicals.

The specialty chemicals segment dominated the market in 2023. The expansion can be attributed to the profound influence of AI technology on the creation and manufacturing of specialized chemical goods. By utilizing AI algorithms, chemical firms can expedite research and development cycles, decrease time-to-market, and improve the quality of specialty chemical products. The demand for customization and innovation is a crucial factor driving the growth of AI in the specialty chemicals market. Due to their distinct characteristics, pharmaceuticals, electronics, and automotive industries significantly depend on specialty chemicals. Artificial intelligence enables researchers to customize formulas to satisfy these sectors' specific needs.

The agrochemicals segment is the fastest growing. Agrochemicals are crucial for the development of AI in the chemicals market since they improve agricultural productivity and efficiency by utilizing new technology. Artificial intelligence algorithms process extensive datasets obtained from sensors, drones, and satellites to deliver immediate and accurate information for precision agriculture. The combination of agrochemicals and AI results in sustainable practices that reduce resource waste and increase crop yields, promoting AI's growth.

Market Size By Type

Market Size By Type
  • Hardware
  • Software
  • Services
  • Recent Developments

    • April 2024– Univar Solutions and Italmatch Chemicals partnered to offer DEQUEST® PB, an environmentally friendly antiscalant and dispersant. This product is designed for manufacturers who are looking for cleaning solutions that are both sustainable and biodegradable.
    • April 2024– Univar Solutions LLC, a prominent global provider of specialty ingredients and chemicals, announced that it has signed a Letter of Intent with ClearShift LLC. ClearShift is a leading company in gas-to-liquids technology and the manufacturing of carbon-neutral specialty chemicals and low-carbon fuels. Univar Solutions intends to provide premium carbon-neutral specialty chemicals from an upcoming ClearShift facility in Louisiana as part of this partnership.

    Key Players

    AI in Chemicals Market Share of Key Players

    AI in Chemicals Market Share of Key Players
    Manuchar N.V IMCD N.V. Univar Solutions Inc. Brenntag S.E. Sojitz Corporation ICC Industries Inc. Azelis Group NV Tricon Energy Inc. Biesterfeld AG Omya AG HELM AG Sinochem Corporation Petrochem Middle East FZE Others

    Frequently Asked Questions (FAQs)

    What is the estimated size of the AI in Chemicals Market?
    The global AI in chemicals market size was valued at USD 1.4 billion in 2023 and is projected to reach USD 13 billion by 2032, registering a CAGR of 31.6% during the forecast period (2024-2032).
    Asia Pacific region has the highest growth rate in the AI in Chemicals Market.
    Expansion of AI Applications in Personalized Medicine and Healthcare-Related Chemicals re one of the key opportunities in AI in Chemicals Market.
    The global AI in chemicals market is segmented based on type, application, and end user.
    AI Made Industrial Work Cleaner and More Efficient and Advancements in Machine Learning Algorithms and Computational Power are some key drivers supporting the growth of the AI in Chemicals Market.


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